Regression line on weight and result
With regression analysis we can check if there is a relationship between a dependent (also called outcome variable) and an independent variable. In this statistic, the relationship between the weight of a rider and the result (outcome) is investigated.
The formula for the regression line on the riders in the result is as follows:
The formula for the regression line on the riders in the result is as follows:
result = -59.7 * weight + 4490
This means that on average for every extra kilogram weight a rider loses -59.7 positions in the result.
Van Looy
3
75 kgMerckx
4
74 kgGimondi
7
78 kgZoetemelk
8
68 kgViejo
990
64 kg
3
75 kgMerckx
4
74 kgGimondi
7
78 kgZoetemelk
8
68 kgViejo
990
64 kg
Weight (KG) →
Result →
78
64
3
990
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | VAN LOOY Frans | 75 |
| 4 | MERCKX Eddy | 74 |
| 7 | GIMONDI Felice | 78 |
| 8 | ZOETEMELK Joop | 68 |
| 990 | VIEJO José Luis | 64 |